Evolutionary optimization algorithms for sunlight-based positioning sensor networks
Journal article, Peer reviewed
Copyright © 2014 jose pardeiro et al. this is an open access article distributed under the creative commons attribution license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Original versionPardeiro, J., Gomez, J.V., Brunete, A. & Sandnes, F.E. (2014). Evolutionary optimization algorithms for sunlight-based positioning sensor networks. International Journal of Distributed Sensor Networks, 2014(564072). doi: 10.1155/2014/564072 http://dx.doi.org/10.1155/2014/564072
The sunlight intensity-based global positioning system (SGPS) is able to geolocate outdoor objects by means of the sunlight intensity detection. This paper presents the integration of SGPS into a sensor network in order to improve the overall accuracy using evolutionary algorithms. Another contribution of the paper is to theoretically solve both global and relative positioning of the sensors composing the network within the same framework without satellite-based GPS technology. Results show that this approach is promising and has potential to be improved further.